Pandas Read JSON
Read JSON
Big data sets are often stored, or extracted as JSON.
JSON is plain text, but has the format of an object, and is well known in the world of programming, including Pandas.
In our examples we will be using a JSON file called 'data.json'.
Example
Load the JSON file into a DataFrame:
import pandas as pd
df = pd.read_json('data.json')
print(df.to_string())
Try it Yourself »
Tip: use to_string() to print the entire DataFrame.
Dictionary as JSON
JSON = Python Dictionary
JSON objects have the same format as Python dictionaries.
If your JSON code is not in a file, but in a Python Dictionary, you can load it into a DataFrame directly:
Example
Load a Python Dictionary into a DataFrame:
import pandas as pd
data = {
"Duration":{
"0":60,
"1":60,
"2":60,
"3":45,
"4":45,
"5":60
},
"Pulse":{
"0":110,
"1":117,
"2":103,
"3":109,
"4":117,
"5":102
},
"Maxpulse":{
"0":130,
"1":145,
"2":135,
"3":175,
"4":148,
"5":127
},
"Calories":{
"0":409,
"1":479,
"2":340,
"3":282,
"4":406,
"5":300
}
}
df = pd.DataFrame(data)
print(df)
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